Add thanks
This commit is contained in:
parent
e5e66de3cf
commit
12bc90ef69
|
@ -27,6 +27,8 @@ In many cases, the choice is made for you, as in the data is already in a databa
|
|||
But if you're starting with your own data (perhaps CSV files), you can either load it into a database or convert it to parquet.
|
||||
In general, it's hard to know what will work best, so in the early stages of your analysis we'd encourage you to try both and pick the one that works the best for you.
|
||||
|
||||
(A big thanks to Danielle Navarro who contributed the initial version of this chapter.)
|
||||
|
||||
### Prerequisites
|
||||
|
||||
In this chapter, we'll continue to use the tidyverse, particularly dplyr, but we'll pair it with the arrow package which is designed specifically for working with large data.
|
||||
|
|
Loading…
Reference in New Issue